Measuring the productivity of the bank branches using data envelopment analysis and Malmquist index

The relative efficiency of fifty-two branches of a small South African bank was estimated using Data Envelopment Analysis (DEA). A factor responsible for the difference in efficiency between branches might be the difference in managing the asset (loans) and the liability (deposit) side of the balance sheet. For this reason, the relative efficiency of the lending and borrowing activities was also estimated and compared to the relative efficiency of the combined (lending and borrowing) activities.In the case of the efficiency estimates for loans and deposits, the indications are that the branches were more efficient in managing the liability side (deposits) than in managing the asset side (loans). This means that purchased funds were not utilised efficiently.

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Effects of product modularity on productivity: an analysis using data envelopment analysis and Malmquist index

Research in Engineering Design ◽

10.1007/s00163-019-00327-3 ◽

2020 ◽

Vol 31 (2) ◽

pp. 143-156 ◽

Cited By ~ 2

Author(s):

Fabio Antonio Sartori Piran ◽

Daniel Pacheco Lacerda ◽

Luis Felipe Riehs Camargo ◽

Aline Dresch

Keyword(s):

Data Envelopment Analysis ◽

Malmquist Index ◽

Data Envelopment ◽

Product Modularity ◽

Using Data

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Benchmarking Efficiency of Bank Branches: A Case Study of Bintan Bank in Malaysia

Asian Case Research Journal ◽

10.1142/s0218927518500104 ◽

2018 ◽

Vol 22 (02) ◽

pp. 239-254

Author(s):

Asish Saha ◽

Yusnidah Ibrahim ◽

Siew Goh Yeok

Keyword(s):

Data Envelopment Analysis ◽

Business Plan ◽

Data Envelopment ◽

Ratio Analysis ◽

Analysis Framework ◽

Holistic View ◽

Robust Approach ◽

Bank Branches ◽

Using Data

Bintan Bank, a mid-sized banking group in the country was trying to evolve a more robust approach to benchmarking the performance of its retail branches. The ratio analysis framework adopted by the Bank in the said exercise was not able to provide a holistic view of branch performance and assist the Bank in setting business targets for its individual branches while finalizing its Business Plan. The Bank invited academic experts to guide the Bank in the benchmarking exercise. Experts worked with the Bank in evolving a comprehensive approach to benchmark branch performance using Data Envelopment Analysis (DEA) Framework. The case narrates the process adopted by the experts and provides solutions to the problem at hand of the Bank.

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Heterogeneity in the productivity of sugar-energy mills in Brazil

International Food and Agribusiness Management Review ◽

10.22434/ifamr2019.0143 ◽

2021 ◽

pp. 1-26

Author(s):

Haroldo José Torres da Silva ◽

Pedro Valentim Marques

Keyword(s):

Energy Source ◽

Data Envelopment Analysis ◽

Technology Adoption ◽

Management Practices ◽

Malmquist Index ◽

Productive Efficiency ◽

Energy Industry ◽

Data Envelopment ◽

Low Levels ◽

Using Data

The development of biofuels in Brazil, and particularly of ethanol as a sustainable energy source, has enabled the strengthening of the national sugar-energy industry. The objective of this study is therefore to evaluate the evolution of the productive efficiency of sugar-energy mills in Brazil during the period of 2006 to 2015, using data envelopment analysis and the Malmquist index and its decompositions. Our results indicate that no single nor well-defined pattern of efficiency or productivity existed among the mills in the industry during the period under study; instead, we found the industry to be heterogeneous in terms of management practices and technology adoption. Furthermore, we found that differences between mills intensified over the period, and that technologically poor mills with low levels of efficiency coexisted among efficient mills employing modern management practices and technologies. Finally, we found that productivity decreased, yet varied considerably over the analyzed period.

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